Potentiale zur energetischen Nutzung von Biomasse in der ... - EPFL
Potentiale zur energetischen Nutzung von Biomasse in der ... - EPFL
Potentiale zur energetischen Nutzung von Biomasse in der ... - EPFL
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GIS model 191<br />
Bundesamt für Energie BFE<br />
For a more detailed description, it is possible to disaggregate these global volume values <strong>in</strong>to three<br />
classes. Regard<strong>in</strong>g the metadata, a correspondence between tree categories and dbh <strong>in</strong>tervals exists:<br />
Small-size trees = 16–28 cm dbh<br />
Medium-size trees = 28–48 cm dbh<br />
Big-size trees = > 48 cm dbh<br />
S<strong>in</strong>ce the proportion of each tree category and the total volume are known, it is therefore possible to<br />
calculate the relative volume for each category of deciduous and coniferous trees.<br />
10.3.4 Estimation of the annual <strong>in</strong>crement of biomass<br />
The assumption is made that the available biomass resource that can be harvested yearly corresponds to<br />
the annual <strong>in</strong>crement <strong>in</strong> stand<strong>in</strong>g trees volume, so that noth<strong>in</strong>g is taken from the actual forest capital.<br />
Thus, the availability factor is a function of the annual growth rate of particular forest types, the surface<br />
they occupied and their volume of biomass.<br />
Annual growth rate<br />
The annual growth rate depends on the vegetation storey <strong>in</strong> which the forest is located. Storeys<br />
themselves vary with bedrock acidity, geomorphologic nature, aspect and altitude. Bedrock alkal<strong>in</strong>ity<br />
was empirically <strong>der</strong>ived from the geotypes data set us<strong>in</strong>g the follow<strong>in</strong>g classification:<br />
Region Geotype Alkal<strong>in</strong>ity<br />
Plateau<br />
Low slope clay molasse basic<br />
Steepy slope clay molasse basic<br />
Sandstone molasse acid<br />
Conglomerate molasse acid<br />
Jura<br />
Calcareous rocks basic<br />
Limestone-clay alternation basic<br />
Prealps and Alps<br />
Gypsum rocks acid<br />
Clay rocks basic<br />
Calcareous rocks basic<br />
Sandstone shale Flyschs acid<br />
Quaternaire<br />
Alluvial soils vary<strong>in</strong>g<br />
Glacial soils vary<strong>in</strong>g<br />
Table 53 Alkal<strong>in</strong>ity of geotypes <strong>in</strong> different regions.<br />
Alcal<strong>in</strong>ity can also be <strong>in</strong>terpreted from the geotechnical map of the Swiss Fe<strong>der</strong>al Office of Topography,<br />
<strong>in</strong>clud<strong>in</strong>g 30 different soil categories.<br />
The geomorphologic conditions that divide the country <strong>in</strong>to supra-regions are available as a GIS layer<br />
from the Swiss Fe<strong>der</strong>al Office of Statistics. Accord<strong>in</strong>g to the Swiss National Forests Inventory (FNP/OFEFP<br />
1999) the Jura, the Plateau and the Prealps have the same regional effects on growth rates. Therefore,<br />
no dist<strong>in</strong>ction was necessary <strong>in</strong> our study for the Canton of Vaud, which was consi<strong>der</strong>ed homogeneous.<br />
The aspect and altitude values are part of the same data set, that is the DHM25. As far as altitudes are<br />
known, it is easy to compute aspects locally with<strong>in</strong> a GIS and classify the values <strong>in</strong> orientation types as<br />
follows: